The article compares top AI code review tools of 2024, highlighting their features, strengths, weaknesses, and performance. These tools use machine learning models, static code analysis, and code quality metrics to analyze and evaluate code, providing feedback, identifying security vulnerabilities, and suggesting improvements. The benefits include increased developer productivity, better team efficiency, support for different programming languages, and augmentation of developer efforts. However, there are limitations such as false negatives and positives, limited predefined rules, and potential inaccuracies in defect estimation. The article analyzes five AI code review tools: CodeGuru, Codacy, Snyk, CodeScene, and CodeRabbit, evaluating their features, user experience, support, accuracy, and performance to help developers select the right tool for their specific needs and project requirements.